Shared State for Multi-Agent Workflows: Why SQL is Overkill
When multiple autonomous agents communicate, they need a blackboard to share state. SQL is too heavy; KV is just right.
BaseKV Team••7 min read
aiarchitecturesimplicity
Shared State for Multi-Agent Workflows: Why SQL is Overkill
In multi-agent architectures (like AutoGen or LangGraph), agents must share context and intermediate results. A 'blackboard' pattern using a key-value database allows agents to securely read and write state concurrently. It sidesteps complex schema migrations and table locks, giving agents the speed they need to iterate quickly.
Why This Matters Now
When discussing ai in 2026, the trend strongly points towards simplified architecture. Keeping overhead low allows you to iterate faster without managing complex databases.
Try a simpler approach. Start with BaseKV.